BNP Paribas

Risk Quant Model Developer - Analyst

BNP Paribas • $80K — $95K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Doctorate, master's, or advanced degree in Quantitative fields such as Finance, Economics, or Actuarial science required.
  • Prior experience building or validating banking-related models preferred.
  • Proficiency in Python or R coding desirable.
  • Experience with data exploration, data mining, and data transformation essential.
  • Strong quantitative skills in time series analysis and regression modeling required.
  • Excellent verbal and written communication skills necessary.
  • Professional working proficiency in English mandatory; French is an asset.

Responsibilities

  • Develop quantitative models for credit risk, climate risk, and AI-driven solutions.
  • Implement statistical and analytical solutions following modeling principles.
  • Document analytical solutions per the Bank's model governance policies.
  • Manage model monitoring, back testing, and change control procedures.
  • Collaborate with analytics team to enhance model implementation and testing.
  • Contribute to innovative approaches in quantitative modeling.
  • Stay current on industry practices for risk management and model development.

Benefits

  • Flexible benefits including family and spouse insurance program.
  • Defined contribution pension plan offered.
  • Paid days for volunteering activities available.
  • Hybrid work arrangements possible, with in-office presence minimum of three days per week.
  • Comprehensive training and personal development programs provided.
  • Career development opportunities within the company and internationally.
Full Job Description
The position at a glance

Overall RISK Mission Statements:
  • To advise the Bank's Management on risk appetite definition.
  • To contribute as an objective "second pair of eyes" that risks taken on by the Bank align with its policies.
  • To report and alert Bank Management of the status of risks to which the Bank is exposed.
  • To contribute to the development and growth of the risk culture within the Group.
  • Credit and counterparty risk, market risk, funding and liquidity risk, as well as interest rate and FX risk of the Banking book, insurance risk and operational risk.
  • RISK covers all Group's activities and geographies.
  • Provide a holistic view of the risk profile to the Bank's Management and Board, by coordinating with the relevant Functions to ensure relevant risk assessment, aggregation, and reporting.

Specific RISK Model team objectives:
  • Work on the development of quantitative models for a broad range risk-management activities, including (but not limited to) credit-risk modelling and stress-testing of the bank's commercial and retail loan portfolios, budgeting, regulatory compliance, climate-risk assessment, and AI-driven solutions.
  • Follow the established modeling development principles to implement statistical and analytical solutions and be part of the team that develops and implements those solutions.
  • Provide support to document analytical solutions in accordance with the Bank's latest modelgovernance policies.
  • Follow proper model monitoring and back testing processes, model change control procedures and versioning protocols.

In detail

  • Contribute to projects with particular focus on credit risk, climate related risk, and AI driven solutions.

  • Collaborate with production analytics team to implement and test the models and to continuously enhance analytic infrastructure.
  • Work effectively as a team member with other quantitative analysts at the company.
  • Stay up-to-date on the latest advances in quantitative risk management and industry best practices for model development.
  • Demonstrate passion for exploring innovative quantitative modelling techniques and commit to continuous learning.

The strengths and skills that will help you succeed

We are looking for a Candidate:
  • Doctorate, master's or other advanced degrees in Quantitative fields (Finance, Economics, Actuarial science, financial engineering, etc.)
  • Prior experience in building or validating models ideally those relevant to banking activities

Preferred Qualifications:
  • Coding: prior knowledge in Python or R.
  • Experience in data exploration, data mining, and data transformation.
  • Experience with statistical modeling and Data Science techniques.
  • Strong quantitative and statistical skills (time series analysis, regression models, segmentation, AI or machine learning techniques).
  • Highly self-motivated, results oriented and capable of independent critical thinking and problem solving.
  • Strong verbal and written communications skills.
  • Languages: English mandatory*, French an asset

*Given the vast majority of our clients, both internal and external, are based outside of Quebec and Canada, specific language requirements may apply. Professional working proficiency in English language is required.

What's in it for you

In addition to competitive compensation, we offer flexible benefits including a family and spouse insurance program, a defined contribution pension plan and paid days for volunteering. Hybrid work arrangements are available for most positions. In-office presence is required a minimum of 3 days per week, one of which must be on a Monday and/or a Friday. BNP Paribas provides excellent training and personal development programs, as well as opportunities for career development within the company and internationally.

To find out more about our range of benefits, click here

What you need to know

  • We will review candidates as they apply, so don't wait to submit your application;


  • You must be legally eligible to work in the Greater Montreal area and, if applicable, hold a valid work or study permit. Physical presence in BNP Paribas' office(s) is an essential function of this position;


  • If you are applying and accepted to a position which requires working in/for the U.S. securities industry, you will be required to provide your fingerprints and undergo additional background checks by the FBI. BNP Paribas Securities Corporation is required to maintain a supervisory program over the conduct of its Associated Persons; some of your personal data will be transmitted to the United States of America and made available to US regulators. Please reach out to BNPP for additional information; or you can also find an overview here: 3110. Supervision FINRA.org


*** While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted***

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